The Mop Up
The MoP-Up #4: Why Release Half-Baked AI Products?
"I'd love to be a fly on the wall for that postmortem."
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Weak Baselines and Bad Management
The pressure is high in the AI world right now and baselines are wobbling.
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Introducing MoPE: An Evaluation Dataset for Professional Editing
Evaluating whether out-of-the-box LLM technology can assist with copy editing at a professional level.
newsletter
MoP #6: The Murky and Evolving Ethics of AI
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What happens if The New York Times wins their case against OpenAI?
Low-risk models and the challenges of "extreme domain generalization".
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There's Too Much Happening (Part 2)
To kick things off, Google DeepMind has some ideas about "self-training"
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There’s Too Much Happening (Part 1)
The announcements are streaming by and the FOMO is real.
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Where Are the Women in AI?
The drama at OpenAI has made it clear that we’re in the first season of a long-running reality show about the future of AI. If we’re signed up for episodes of mudslinging and backroom dealing, we may as well familiarize ourselves with the cast of characters. Luckily, The
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The IHOP-ification of AI generated unleavened bread
Does OpenAI have a secret agenda to flatten the world’s rich collection of unleavened breads into the bland, American pancake?
journalism
Discussing AI at a Journalism Tech Conference
I recently attended SRCCON, a lovely conference held in Minneapolis that focuses on the tooling needed to help modern news organizations innovate and also, sadly, stay alive. AI came up a lot. The notes and transcripts from the sessions are online if you’re interested in reading (or auto-summarizing) them.
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Hello World... what is a machine learning model anyway?
Here at Machines on Paper, we’ll be following the integration of AI into our professional lives with curiosity, humor and a smattering of computer science.